Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1061/(ASCE)WR.1943-5452.0001312 |
Stochastic Optimization of Reservoir Operation by Applying Hedging Rules | |
Bayesteh, Mostafa; Azari, Arash | |
通讯作者 | Azari, A (corresponding author), Razi Univ, Dept Water Engn, Water Resource Engn, Kermanshah 6715685421, Iran. |
来源期刊 | JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT |
ISSN | 0733-9496 |
EISSN | 1943-5452 |
出版年 | 2021 |
卷号 | 147期号:2 |
英文摘要 | The high percentage of reliability of water resources systems has always been considered as a positive advantage by users. However, in arid and semiarid areas in which the flow rate of the reservoir is highly variable, it makes sense to reduce the system reliability and allocate less water to demand sites in order to avoid critical conditions such as reservoir depletion and to reduce severity of failure in low water months. In this study, a parameterization-simulation-optimization (PSO) based operation model was used whereby the efficiency of two different hedging rules was studied based on one-dimensional and two-dimensional relationships between release, storage, and input flow considering the stochastic conditions of the input flow. The optimal hedging parameters were determined through linking the reservoir simulation model to the multiobjective imperialist competitive algorithm. The model combines stochastic and historical monthly flow data of the Marun River (10,800 months in total) to optimize the system and extract hedging rules for the Marun Dam reservoir in Iran. In order to validate the developed model, the combination of stochastic data and residual historical data (612 months in total) was used. The model results from two different hedging policies were then compared with those from standard operating policies (SOPs). The results indicated that PSO model based on one-dimensional reservoir hedging policy compared to two-dimensional hedging methods and SOP was able to manage needs allocation in dry months and prevent reservoir depletion. (c) 2020 American Society of Civil Engineers. |
英文关键词 | Stochastic operation Reservoir hedging Parameterization-simulation-optimization (PSO) Multiobjective imperialist competitive algorithm (MOICA) Water evaluation and planning system (WEAP) |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000609460400008 |
WOS关键词 | IMPERIALIST COMPETITIVE ALGORITHM ; GENERATION ; SIMULATION ; MANAGEMENT ; DROUGHT ; SYSTEMS |
WOS类目 | Engineering, Civil ; Water Resources |
WOS研究方向 | Engineering ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/348051 |
作者单位 | [Bayesteh, Mostafa; Azari, Arash] Razi Univ, Dept Water Engn, Water Resource Engn, Kermanshah 6715685421, Iran |
推荐引用方式 GB/T 7714 | Bayesteh, Mostafa,Azari, Arash. Stochastic Optimization of Reservoir Operation by Applying Hedging Rules[J],2021,147(2). |
APA | Bayesteh, Mostafa,&Azari, Arash.(2021).Stochastic Optimization of Reservoir Operation by Applying Hedging Rules.JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT,147(2). |
MLA | Bayesteh, Mostafa,et al."Stochastic Optimization of Reservoir Operation by Applying Hedging Rules".JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT 147.2(2021). |
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